Analytics Data Engineer

The Opportunity:

Are you passionate about solving problems through technology? As an experienced technology professional, you know that implementing improved digital initiatives with effective data engineering, pipeline optimization, and platform modernization is crucial for an organization's future. You're eager to apply your advanced experience and Databricks knowledge to redefine what's possible and achieve it. We're looking for someone like you to help organizations solve their traditional business challenges with new digital transformation architecture from roadmap to implementation.

As a digital transformation architect on our team, you'll transform federal data systems by implementing scalable data pipelines, medallion architecture, and analytics-ready data layers. Using Python, SQL, Databricks, and AWS services, you'll work alongside key stakeholders and other team members to share your expertise on data ecosystems and implement transformative data platforms and processes.

In this role, you'll directly impact federal data transparency and decision-making by migrating legacy SQL Server and Pentaho systems into modern, scalable Databricks workflows, building robust ingestion frameworks, and architecting data layers that enable analytics and future AI-driven initiatives. With opportunities to learn new tools and skills, we focus on growing and collaborating as a team to make the best solutions for our customers.

Work with us as we implement new technologies to change federal data management for the better.

Join us. The world can't wait.

You Have:

• 2+ years of experience in data engineering using Databricks
• 2+ years of experience in data engineering using Python, including pandas, psycopg2, boto3, and PySpark
• 1+ years of experience with AWS datastores, including RDS, S3, and Redshift
• 1+ years of experience in data modeling and data lake or warehouse architecture
• Experience using Spark and Parquet
• Experience translating SQL stored procedures such as SQL Server, and ETL logic into Databricks workflows
• Experience with data process operations and maintenance
• Knowledge of AI/ML concepts and how data engineering supports machine learning initiatives
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree

Nice If You Have:

• Experience with Linux, RHEL, or Windows
• Experience working in Agile environments
• Experience with AWS DMS
• Experience supporting clients in new technology implementation
• Knowledge of Jira and Git
• Knowledge of data catalog tools such as Alation
• Knowledge of Databricks AI features such as MLflow, AutoML, or Feature Engineering
• Ability to architect data pipelines with consideration for AI/ML use cases
• Possession of excellent verbal and written communication skills

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.